package com.bw.gmall.realtime.dws.app;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.bw.gmall.realtime.common.base.BaseApp;
import com.bw.gmall.realtime.common.bean.TradeSkuOrderBean;
import com.bw.gmall.realtime.common.constant.Constant;
import com.bw.gmall.realtime.common.function.DorisMapFunction;
import com.bw.gmall.realtime.common.util.DateFormatUtil;
import com.bw.gmall.realtime.common.util.FlinkSinkUtil;
import com.bw.gmall.realtime.common.util.HbaseUtil;
import com.bw.gmall.realtime.common.util.RedisUtil;
import org.apache.flink.api.common.eventtime.SerializableTimestampAssigner;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.functions.RichMapFunction;
import org.apache.flink.api.common.state.MapState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingEventTimeWindows;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;
import org.apache.hadoop.hbase.client.Connection;
import redis.clients.jedis.Jedis;

import java.math.BigDecimal;
import java.time.Duration;

public class DwsTradeSkuOrderWindowSyncCache extends BaseApp {
    public static void main(String[] args) {
        new DwsTradeSkuOrderWindowSyncCache().start(10029, 4, Constant.TOPIC_DWD_TRADE_ORDER_DETAIL, Constant.DWS_TRADE_SKU_ORDER_WINDOW);
    }

    @Override
    public void handle(StreamExecutionEnvironment env, DataStreamSource<String> kafkaSource) {
        // 1. 读取数据源
        // 2. 数据清洗
        SingleOutputStreamOperator<JSONObject> etlStream = kafkaSource.flatMap(new FlatMapFunction<String, JSONObject>() {
            @Override
            public void flatMap(String s, Collector<JSONObject> collector) throws Exception {
                try {
                    // 因为有撤回流,所有要过滤
                    if (s != null) {
                        JSONObject jsonObject = JSON.parseObject(s);
                        String skuId = jsonObject.getString("sku_id");
                        Long ts = jsonObject.getLong("ts");
                        if (skuId != null && ts != null) {
                            jsonObject.put("ts", ts * 1000);
                            collector.collect(jsonObject);
                        }
                    }

                } catch (Exception e) {
                    e.printStackTrace();
                }
            }
        });
        // 3. 添加水位线
        SingleOutputStreamOperator<JSONObject> watermarksStream = etlStream.assignTimestampsAndWatermarks(WatermarkStrategy.<JSONObject>forBoundedOutOfOrderness(Duration.ofSeconds(3)).withTimestampAssigner(new SerializableTimestampAssigner<JSONObject>() {
            @Override
            public long extractTimestamp(JSONObject jsonObject, long l) {
                return jsonObject.getLong("ts");
            }
        }));
        // 4.分组
        KeyedStream<JSONObject, String> keyedStream = watermarksStream.keyBy(new KeySelector<JSONObject, String>() {
            @Override
            public String getKey(JSONObject jsonObject) throws Exception {
                // 不能以sku_id分组，会引起重复计算
                return jsonObject.getString("id");
            }
        });
        // 5.校正数据
        SingleOutputStreamOperator<TradeSkuOrderBean> processStream = keyedStream.process(new KeyedProcessFunction<String, JSONObject, TradeSkuOrderBean>() {

            private MapState<String, BigDecimal> mapState;

            @Override
            public void open(Configuration parameters) throws Exception {
                MapStateDescriptor<String, BigDecimal> stateDescriptor = new MapStateDescriptor<String, BigDecimal>("order_state", String.class, BigDecimal.class);
//                stateDescriptor.enableTimeToLive(StateTtlConfig.newBuilder(Time.seconds(30L)).build());
                mapState = getRuntimeContext().getMapState(stateDescriptor);
            }

            @Override
            public void processElement(JSONObject jsonObject, KeyedProcessFunction<String, JSONObject, TradeSkuOrderBean>.Context context, Collector<TradeSkuOrderBean> collector) throws Exception {
                BigDecimal splitTotalAmount = jsonObject.getBigDecimal("split_total_amount");
                BigDecimal splitActivityAmount = jsonObject.getBigDecimal("split_activity_amount");
                BigDecimal splitCouponAmount = jsonObject.getBigDecimal("split_coupon_amount");
                BigDecimal sku_num = jsonObject.getBigDecimal("sku_num");
                BigDecimal orderPrice = jsonObject.getBigDecimal("order_price");

                // 计算原始金额
                BigDecimal originalAmount = orderPrice.multiply(sku_num);

                // 取状态
                BigDecimal split_total_amount = mapState.get("splitTotalAmount");
                BigDecimal split_activity_amount = mapState.get("splitActivityAmount");
                BigDecimal split_coupon_amount = mapState.get("splitCouponAmount");
                BigDecimal original_amount = mapState.get("originalAmount");
                split_total_amount = split_total_amount == null ? new BigDecimal(0) : split_total_amount;
                split_activity_amount = split_activity_amount == null ? new BigDecimal(0) : split_activity_amount;
                split_coupon_amount = split_coupon_amount == null ? new BigDecimal(0) : split_coupon_amount;
                original_amount = original_amount == null ? new BigDecimal(0) : original_amount;

                String skuId = jsonObject.getString("sku_id");
                String skuName = jsonObject.getString("sku_name");
                String id = jsonObject.getString("id");
                Long ts = jsonObject.getLong("ts");
                collector.collect(TradeSkuOrderBean.builder().skuId(skuId).orderDetailId(id).orderAmount(splitTotalAmount.subtract(split_total_amount)).originalAmount(originalAmount.subtract(original_amount)).activityReduceAmount(splitActivityAmount.subtract(split_activity_amount)).couponReduceAmount(splitCouponAmount.subtract(split_coupon_amount)).skuName(skuName).ts(ts).build());
                // 更新状态
                mapState.put("splitTotalAmount", splitTotalAmount);
                mapState.put("splitActivityAmount", splitActivityAmount);
                mapState.put("splitCouponAmount", splitCouponAmount);
                mapState.put("originalAmount", originalAmount);

            }
        });
        // 6.分组 开窗 聚合
        SingleOutputStreamOperator<TradeSkuOrderBean> reduceStream = processStream.keyBy(new KeySelector<TradeSkuOrderBean, String>() {
            @Override
            public String getKey(TradeSkuOrderBean tradeSkuOrderBean) throws Exception {
                return tradeSkuOrderBean.getSkuId();
            }
        }).window(TumblingEventTimeWindows.of(org.apache.flink.streaming.api.windowing.time.Time.seconds(10L))).reduce(new ReduceFunction<TradeSkuOrderBean>() {
            @Override
            public TradeSkuOrderBean reduce(TradeSkuOrderBean value1, TradeSkuOrderBean value2) throws Exception {
                value1.setOriginalAmount(value1.getOriginalAmount().add(value2.getOriginalAmount()));
                value1.setCouponReduceAmount(value1.getCouponReduceAmount().add(value2.getCouponReduceAmount()));
                value1.setActivityReduceAmount(value1.getActivityReduceAmount().add(value2.getActivityReduceAmount()));
                value1.setOrderAmount(value1.getOrderAmount().add(value2.getOrderAmount()));
                return value1;
            }
        }, new ProcessWindowFunction<TradeSkuOrderBean, TradeSkuOrderBean, String, TimeWindow>() {
            @Override
            public void process(String s, ProcessWindowFunction<TradeSkuOrderBean, TradeSkuOrderBean, String, TimeWindow>.Context context, Iterable<TradeSkuOrderBean> iterable, Collector<TradeSkuOrderBean> collector) throws Exception {
                TimeWindow window = context.window();
                long start = window.getStart();
                long end = window.getEnd();
                for (TradeSkuOrderBean tradeSkuOrderBean : iterable) {
                    tradeSkuOrderBean.setStt(DateFormatUtil.tsToDateTime(start));
                    tradeSkuOrderBean.setEdt(DateFormatUtil.tsToDateTime(end));
                    tradeSkuOrderBean.setCurDate(DateFormatUtil.tsToDate(System.currentTimeMillis()));
                    collector.collect(tradeSkuOrderBean);
                }
            }
        });

        SingleOutputStreamOperator<TradeSkuOrderBean> dimStream = reduceStream.map(new RichMapFunction<TradeSkuOrderBean, TradeSkuOrderBean>() {

            private Jedis jedis;
            private Connection hbaseConnect;

            @Override
            public void open(Configuration parameters) throws Exception {
                hbaseConnect = HbaseUtil.getHbaseConnect();
                jedis = RedisUtil.getJedis();
            }

            @Override
            public void close() throws Exception {
                HbaseUtil.closeHBaseConn(hbaseConnect);
                RedisUtil.closeJedis(jedis);
            }

            @Override
            public TradeSkuOrderBean map(TradeSkuOrderBean tradeSkuOrderBean) throws Exception {
                // 关联维度顺序顺序，必须要关联sku_id
                String skuId = tradeSkuOrderBean.getSkuId();
                JSONObject dimSkuInfo;
                // 先看缓存有没有数据
                // 库名:表名:id
                String dimSkuInfoStr = jedis.get(RedisUtil.getRedisKey("dim_sku_info", skuId));
                if (dimSkuInfoStr == null) {
                    // 内存中，从hbase
                    dimSkuInfo = HbaseUtil.getCells(hbaseConnect, Constant.HBASE_NAMESPACE, "dim_sku_info", skuId);
                    if (dimSkuInfo.size() > 0) {
                        jedis.setex(RedisUtil.getRedisKey("dim_sku_info", skuId), 24 * 60 * 60, dimSkuInfo.toJSONString());
                    } else {
                        System.out.println("Hbase没有该数据。。。");
                    }
                } else {
                    dimSkuInfo = JSONObject.parseObject(dimSkuInfoStr);
                }

                if(dimSkuInfo.size() > 0){
                    // 关联SKU
                    tradeSkuOrderBean.setSpuId(dimSkuInfo.getString("spu_id"));
                    tradeSkuOrderBean.setTrademarkId(dimSkuInfo.getString("tm_id"));
                    tradeSkuOrderBean.setCategory3Id(dimSkuInfo.getString("category3_id"));
                }

                return tradeSkuOrderBean;
            }
        });

        dimStream.print();
        // 写到doris
//        dimStream.map(new DorisMapFunction<>()).sinkTo(FlinkSinkUtil.getDorisSink(Constant.DWS_TRADE_SKU_ORDER_WINDOW));

    }
}
